Abstract: Each and every person in this world has a desire to live a normal human life but accidents, diseases, elder-ship make their desire into disability. Moreover, there are lots of handicaps and elders as well as the number of paralyzed people are increasing day by day. They always need another person in moving the wheelchair .The proposed system helps them to move freely & safely and also takes the activities in a cost effective manner. The intention of this work is to propose and develop a Brain-computer interface solution for people with movement disabilities. A smart wheelchair is developed by using Brain recognition system control the movement of wheelchair and also with Arduino interfaced. The proposed solution will read ,monitor and translate brainwaves generated from the central nervous system of a person with movement disabilities to replace/rehabilitate his/her natural movements or for allowing them to control different software and hardware applications such as password authentication, virtual keypad communication, emergency commands and wheelchair. The brain waves used in this work are those produced when a person blinks. This prototype uses a controlled mechanism based on the raw Electroencephalography (EEG) data extracted from a mind wave mobile/brain sensor for manipulating real life applications.

Keywords: Electroencephalography (EEG), Brain computer interface (BCI), Paralyzed, and Brainwaves

| DOI: 10.17148/IARJSET.2021.86139